Rafiqul Islam, PhD
Senior Lecturer in Computing

Charles Sturt University
Phone: 02 6051 9816
E-mail: mislam@csu.edu.au



Dr Rafiqul Islam is a Senior Lecturer of Computing in the School of Computing and Mathematics, Faculty of Business, Justice and Behavioural Sciences, Charles Sturt University. He earned BSc (Honours) and MSc (Research) from the department of Computer Science and Engineering, University of Dhaka, and PhD degree with the specialisation in Network Security from Deakin University, Australia. Before joining CSU, Rafiqul has worked as a Research Academic in the School of Information Technology, Deakin University, Australia. He also worked as Lecturer in the School of Engineering and Information Technology, Deakin University; Adjunct Lead lecturer in School of Information and Communication Technology, CQUniversity; Adjunct Lecturer, department of Epidemic and Biostatistics, Monash University. He was also a Lecturer & Assistant Professor in the Department of Computer Science and Engineering, University of Dhaka.

Dr. Islam is a member of the Institute of Electrical and Electronics Engineers (IEEE) and Fellow member of Association of Accounting Technician (AAT).

Research Interest

  • Network security
  • Cyber security
  • Cluster classification
  • Malware identification and detection
  • Intrusion detection

Scientific Activities

 2010 International ICST Conference on Communications and Networking, Beijing Best paper award
2007 School of Engineering & IT, Deakin University, Australia Best HRD research award
2004 Deakin University, Australia Postgraduate research scholarship (DUIRS)
2001-2002 KOICA, Republic of Korea Teacher Training Award
1988 Ministry of Education, Bangladesh Daemi Complex National award
1988 outstanding result in HSC (Fazil), 1st position in combined merit list Fullbright Govt. Scholarship
1986 outstanding result in SSC(Alim), 1st position in combined merit list Fullbright Govt. Scholarship


  1. Md. Samiullah, Chowdhury F Ahmed, Anna Fariha, Md. Rafiqul Islam and Nicolas Lachiche (2013), Mining Frequent Correlated Graphs with a New Measure, Journal of System and Software, Elsevier,(Under review process)
  2. Rafiqul Islam, Irfan Altas and Md Saiful Islam (2013) Exploring Timeline Approach for Malware Detection, 28th International Information Security and Privacy Conference, LNCS, Springer (in press).
  3. Rafiqul Islam, Tian,R., Lynn, M. B, & Steve, V. (2013) Classification of Malware Based on Integrated Static and Dynamic Features, Journal of Network and Computer Application , Elsevier, Vol. 36, No 2, pp 646-656.
  4. Md. Samiullah, Chowdhury F Ahmed, Manziba A Nishi, Anna Fariha, and Md. Rafiqul Islam (2013), Correlation Mining in Graph Databases with a New Measure Lecture Notes in Computer Science 7808, Springer, Volume 7808, 2013, pp 88-95
  5. Rafiqul Islam, M. and Abajawajy, J. (2012) A Multi-tier Phishing Detection and Filtering Approach, Journal of Network and Computer Application, Elsevier publication, Vol 36, No. 1, pp – 324-335.
  6. Rafiqul Islam, Ronghua. T., Lynn, M. B, & Veelasha M. (2012) "A Comparison of the Classification of Disparate Malware Collected in Different Time Periods,Journal of Networks, Vol 7, No 6, 946-955, Jun 2012.
  7. Rafiqul Islam and Irfan Altas (2012), A comparative study of malware family classification, LNCS 7618, Springer, pp 488-496.
  8. Mahmood, A. N., Leckie, C., Islam, Md. Rafiqul and Tari, Z. 2011, Hierarchical summarization techniques for network traffic, in ICIEA 2011 : Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, IEEE, Piscataway, N.J., pp. 2474-2479.
  9. Rafiqul Islam, Ronghua Tian, Veelasha Moonsamy and Lynn Batten (2011), A Comparison of the Classification of Disparate Malware Collected in Different Time Periods, in Warren, Matthew (eds), ATIS 2011 pp. 22-27.
  10. Rafiqul Islam, and Chowdhury, M. (2011) Detecting Unwanted Email Using VAT, R. Lee (Ed.): Software Eng., Artificial Intelligence, NPD 2011, SCI 368, Volume 368/2011, pp.113-126,DOI: 10.1007/978-3-642-22288-7_10,© Springer-Verlag Berlin Heidelberg 2011.
  11. Rafiqul Islam, Saiful Islam and Chowdhury, M. (2011) Detecting unknown program behaviour using API system calls, Springer LNCS, volume 254, pp 383-394, Springer-Verlag Berlin Heidelberg 2011;
  12. Saiful Islam and Rafiqul Islam "Modeling Spammer Behavior: Artificial Neural Network vs. Naive Bayesian Classifier", Book chapter, Edited by: Chi Leung Patrick Hui, InTech publication, Artificial Neural Network, pp. 241-252, ISBN 978-953-7619-X-X.
  13. Miles, S. Kate and Rafiqul Islam , Meta-learning for data summarization based on instance selection method, IEEE Congress on Evolutionary Computation, pp.1-8.
  14. Saiful Islam, Abdullah A. Mahmud and Rafiqul Islam "Machine Learning Approaches for Modeling Spammer Behavior", LNCS 6458, pp, 251-269, @Springer-Verlag Berlin Heidelberg. 2010 .
  15. Tian, R. Rafiqul Islam, Batten, L, and Steve, V., Classifying Malware versus clean ware based on behavioural analysis, IEEE Malware 2010, pp. 23 – 30.
  16. Miles, S. Kate and Rafiqul Islam, Meta-learning of instance selection for data summarization. Book chapter in Meta-learning in Computational Intelligence, Book Chapter. Publisher: Springer Verlag, Series: Studies in Computational Intelligence, Editors: Włodzisław Duch, Krzysztof Grąbczewski, Norbert Jankowski.
  17. Rafiqul Islam, Wanlei Zhou, Guao, M and Xiang Y. (2009) An innovative analyser for multiclassifier email classification based on grey list analysis, The Journal of Network and Computer Applications, Elsevier, Vol 32, Issue 2, pp. 357-366.
  18. Islam, Rafiqul, Zhou, Wanlei, Xiang, Yang and Mahmood, Abdun Naser 2009, Spam filtering for network traffic security on a multi-core environment, Concurrency and computation : practice & experience, vol. 21, no. 10, pp. 1307-1320.
  19. Rafiqul Islam, M. and Wanlei Zhou. (2009) "Minimizing the complexity of GL analyser of spam filtering" Lecture notes in computer science, vol. 5574, pp. 761-774.
  20. Rafiqul Islam, M. Wanlei Zhou and Chowdhury, M. (2009) Minimizing the drawbacks of grey list analyser of synthesis based spam filtering, Journal of Electronics and Computer Science (JECS), Vol. 11, No. 1, pp (89-96).

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